ML-Life-Expectancy

This is my first Machine Learning project that predicts Life Expectancy with Lineer Regression using other values.

The values are:

   'Country', 'Year', 'Life_expectancy', 'Adult Mortality',

   'infant deaths', 'Alcohol', 'percentage_expenditure', 'Hepatitis B',
   
   'Measles ', ' BMI ', 'under-five deaths ', 'Polio', 'Total expenditure',
   
   'Diphtheria ', ' HIV/AIDS', 'GDP', 'Population',
   
   ' thinness  1-19 years', ' thinness 5-9 years',
   
   'Income_composition_of_resources', 'Schooling'

Used pandas to manage datasheet.

Used matplotlib to visualize datas and values.

Used seaborn to see density of every element.

Used sklearn to lineer regression, onehotencoder etc.

Used OneHotEncoder to encode Country Column as Digits.

And More.